Support memory characterization activities across voltage, temperature, and process conditions.
Perform data analysis, visualization, and reporting using Python, JMP, or similar analytical tools.
Develop and enhance statistical models for Vmin/Vmax prediction and technology readiness assessments.
Support Silicon-to-Simulation (Sil2Sim) correlation studies and memory characterization methodologies.
Generate technical reports and contribute to technology certification reviews.
Collaborate with cross-functional teams including Design, Device Engineering, Process Integration, Product Development Engineering, and Yield Engineering.
Assist with risk assessment activities and technology certification milestones.
Present data-driven findings and recommendations to engineering teams and project stakeholders.
Qualifications
Minimum Qualifications
Currently pursuing a Ph.D. in Electrical Engineering or a related field.
Basic knowledge of semiconductor devices, microelectronics, or integrated circuit design.
Programming or scripting experience using Python or similar languages.
Experience analyzing technical, scientific, or research data through academic projects, research activities, or previous internships.
Strong academic performance with a cumulative GPA of 3.0 or higher required.
Preferred Qualifications
Coursework, research, or experience in one or more of the following areas:
SRAM or memory technologies
Semiconductor device physics
VLSI design
Statistics, machine learning, or data science
Semiconductor process technology
Experience with
Python, Pandas, and NumPy
JMP or other statistical analysis tools
Data visualization and statistical modeling techniques
Large-scale data analysis and predictive modeling
Additional experience in memory architectures, silicon characterization, reliability assessment, or semiconductor test methodologies is highly desirable.
What You Will Learn
During this internship, you will gain exposure to
Advanced SRAM, RF, and Fuse memory technologies
Memory characterization and certification methodologies
Silicon data analytics and statistical modeling techniques
Vmin/Vmax evaluation and predictive model development
Technology qualification and certification processes
Cross-functional semiconductor technology development workflows
Silicon-based decision making for technology readiness and risk assessment
Job Type
Student / Intern
Shift
Shift 1 (United States of America)
Primary Location
US, California, Folsom
Additional Locations
US, California, Santa Clara, US, Oregon, Hillsboro
Posting Statement
All qualified applicants will receive consideration for employment without regard to race, color, religion, religious creed, sex, national origin, ancestry, age, physical or mental disability, medical condition, genetic information, military and veteran status, marital status, pregnancy, gender, gender expression, gender identity, sexual orientation, or any other characteristic protected by local law, regulation, or ordinance.
Benefits
We offer a total compensation package that ranks among the best in the industry. It consists of competitive pay, stock bonuses, and benefit programs which include health, retirement, and vacation. Find out more about the benefits of working at Intel.
Annual Salary Range for jobs which could be performed in the US: $120,898.00-120,902.00 USD
The range displayed on this job posting reflects the minimum and maximum target compensation for the position across all US locations. Our standard internship rates are based on your degree, location, and the job role. Your recruiter can share more about the specific compensation range for your preferred location and job role during the hiring process.
- Work Model for this Role
- This role will be eligible for our hybrid work model which allows employees to split their time between working on-site at their assigned Intel site and off-site. * Job posting details (such as work model, location or time type) are subject to change.
ADDITIONAL INFORMATION: Intel is committed to Responsible Business Alliance (RBA) compliance and ethical hiring practices. We do not charge any fees during our hiring process. Candidates should never be required to pay recruitment fees, medical examination fees, or any other charges as a condition of employment. If you are asked to pay any fees during our hiring process, please report this immediately to your recruiter.
